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Meta Llama 3 70B AWQ by TechxGenus

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Model Card on HF 🤗: https://huggingface.co/TechxGenus/Meta-Llama-3-70B-AWQ 

Meta Llama 3 70B AWQ Benchmarks

LLME Score: 0.18127
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
Meta Llama 3 70B AWQ (TechxGenus/Meta-Llama-3-70B-AWQ)

Meta Llama 3 70B AWQ Parameters and Internals

Model Type 
text generation
Use Cases 
Areas:
commercial, research
Applications:
assistant-like chat, natural language generation tasks
Primary Use Cases:
English instruction tuned chat models
Limitations:
only tested in English, possible inaccuracies or biases
Considerations:
Use with safety assessments tailored to use case.
Additional Notes 
Inherits best practices in safety from previous versions.
Supported Languages 
en (Good)
Training Details 
Data Sources:
publicly available online data
Data Volume:
15T+ tokens
Methodology:
supervised fine-tuning (SFT) and reinforcement learning with human feedback (RLHF)
Context Length:
8000
Training Time:
7.7M GPU hours
Hardware Used:
H100-80GB GPUs
Model Architecture:
optimized transformer architecture
Safety Evaluation 
Methodologies:
red teaming, adversarial evaluations
Findings:
safe per evaluations
Risk Categories:
safety, responsibility
Ethical Considerations:
Evaluated under Responsible AI guidelines.
Responsible Ai Considerations 
Fairness:
Includes guidelines for fair operation and bias mitigation.
Transparency:
Includes detailed safety evaluation methodologies.
Accountability:
Meta responsible for model and derivatives.
Mitigation Strategies:
Usage following Responsible AI guidelines
Input Output 
Input Format:
text
Accepted Modalities:
text
Output Format:
text/code
Performance Tips:
Align with Responsible AI guidelines for best performance.
Release Notes 
Version:
Llama 3 8B
Date:
April 18, 2024
Notes:
Released with 8k context length and GQA feature.
Version:
Llama 3 70B
Date:
April 18, 2024
Notes:
Includes advanced optimizations and RLHF.
LLM NameMeta Llama 3 70B AWQ
Repository 🤗https://huggingface.co/TechxGenus/Meta-Llama-3-70B-AWQ 
Base Model(s)  Meta Llama 3 70B Hf   Undi95/Meta-Llama-3-70B-hf
Model Size70b
Required VRAM39.9 GB
Updated2025-02-22
MaintainerTechxGenus
Model Typellama
Model Files  5.0 GB: 1-of-9   4.9 GB: 2-of-9   4.9 GB: 3-of-9   4.9 GB: 4-of-9   4.9 GB: 5-of-9   4.9 GB: 6-of-9   4.9 GB: 7-of-9   3.4 GB: 8-of-9   2.1 GB: 9-of-9
Supported Languagesen
AWQ QuantizationYes
Quantization Typeawq
Model ArchitectureLlamaForCausalLM
Licenseother
Context Length8192
Model Max Length8192
Transformers Version4.40.0
Tokenizer ClassPreTrainedTokenizerFast
Vocabulary Size128256
Torch Data Typefloat16

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Note: green Score (e.g. "73.2") means that the model is better than TechxGenus/Meta-Llama-3-70B-AWQ.

Rank the Meta Llama 3 70B AWQ Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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